vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- [Usage]: Multimodal content with benchmark_serving.py
- [Usage]: Pass multiple LoRA modules through YAML config
- [Usage]: How to use pdb using the latest version?
- [Usage]: How to add a plugin process to the vLLM process world?
- [New Model]: stepfun-ai/GOT-OCR2_0
- [Bug]: crash:RecursionError: maximum recursion depth exceeded
- [Bug]: Broken outputs for large contexts if `max_model_len` is fixed.
- [New Model]: Pangea-7B: A Fully Open Multilingual Multimodal LLM for 39 Languages
- [Bug]: KeyError: 'layers.0.self_attn.qkv_proj.weight'
- [Feature]: Support for 1.58-bit models.
- Docs
- Python not yet supported